Summary with AI 对比 Typeset
比较 Summary with AI 和 Typeset，看看我们在功能、评论、定价、替代品、赞成票等方面比较哪个 AI Summarizer 工具更好。
哪一个更好？Summary with AI 还是 Typeset？
当我们比较Summary with AI和Typeset时，这两个都是AI驱动的summarizer工具， Typeset是赞成票的明显赢家。 Typeset已经获得了 25 个 aitools.fyi 用户的赞成票，而 Summary with AI 已经获得了 6 个赞成票。
不同意结果？投票支持您最喜欢的工具，帮助它获胜！
Summary with AI
什么是 Summary with AI?
使用 Summary with AI 释放快速理解复杂文档的潜力，这是一种创新工具，旨在将冗长的 PDF 转换为简洁、高质量的摘要。这款由 AI 驱动的解决方案可满足各种需求，无论是阅读行业报告、浏览法律文件还是加速学术研究，它都能简化阅读过程。
该服务能够上传最大 200 MB 的 PDF 文件，并且系统简单易用，只需三次点击即可提供摘要，从而确保效率。Summary with AI 提供灵活的定价计划，无需订阅 - 仅在必要时购买积分，并且积分永不过期。立即开始使用 40 个免费积分，无需信用卡，亲身体验 AI 如何彻底改变您的阅读工作流程。
Typeset
什么是 Typeset?
您的平台探索和解释论文。搜索270m+的论文，以简单的语言了解它们，然后查找连接的论文，作者，主题。
Summary with AI 赞同数
6
Typeset 赞同数
25🏆
Summary with AI 顶级功能
注册即可获得免费积分：获得 40 个免费积分，可以总结 40 页，无需信用卡。
大文件支持：上传最大 200 MB 的 PDF 文件以供汇总。
**快速下载：**只需 3 次单击即可将摘要下载为 PDF。
减少时间：阅读年度报告、研究论文和书籍等密集文档所用的时间减少 70%。
灵活的定价：无需订阅；根据需要购买积分，不会过期。
Typeset 顶级功能
未列出顶级功能Summary with AI 类别
- Summarizer
Typeset 类别
- Summarizer
Summary with AI 定价类型
- Freemium
Typeset 定价类型
- Free
Summary with AI 使用的技术
Next.js
Node.js
Tailwind CSS
Typeset 使用的技术
Amazon Web Services
jQuery
Bootstrap
Summary with AI 标签
Summary with AI
PDF Summarization
Academic Research
Corporate Reports
Legal Documents
AI Technology
Efficient Learning
No Subscription
Credit System
Free Trial
Typeset 标签
Content Summary
AI Whitepapers
AI Emails
Summary with AI 平均评分
无可用评分Typeset 平均评分
4.00
Summary with AI 评论
无可用评论Typeset 评论
Sara Sara
The simulation model validated experimental J-V and external quantum efficiency (EQE) to demonstrate an improvement in perovskite (PSK) solar cell (PSC) efficiency. The effect of interface properties at the electron transport layer (ETL)/PSK and PSK/hole transport layer (HTL) was investigated using the Solar Cell Capacitance Simulator (SCAPS). The interfaces between ETL, PSK, and HTL were identified as critical factors in determining high open-circuit voltage (Voc) and FF. In this study, the impact of two types of interfaces, ETL/PSK and PSK/HTL, were investigated. Lowering the defect density at both interfaces to 102 cm−2 reduced interface recombination and increased Voc and FF.The absorber layer defect density and n/i interface of perovskite solar cells were investigated using the Solar Cell Capacitance Simulator-1D (SCAPS-1D) at various cell thicknesses. The planar p-i-n structure was defined as PEDOT:PSS/Perovskite/CdS, and its performance was calculated. With a defect density of <1014 cm−3 and an absorber layer thickness of >400 nm, power conversion efficiency can exceed 25%. The study assumed a 0.6 eV Gaussian defect energy level beneath the perovskite's conduction band, which has a characteristic energy of 0.1 eV. These conditions produced the same result on the n/i interface. These findings place constraints on numerical simulations of the correlation between defect mechanism and performance